Sessions

Luther Hill
Build a Data Pipeline in the cloud for Bird Recognition
Luther Hill

Build a cloud data pipeline to enable bird recognition from streaming video and provide descriptive information about the birds. The architecture will take live streaming video and use lambda functions to initiate image recognition, data mapping, and display the information on a webpage. This projec

Room: Breakout Room G
Topics: ;
Tags: .NET; Architecture; Azure; Machine Learning; Microservices; NoSQL; Python; Serverless; SQL; Windows

John Morehouse
Data Migration to the Azure SQL Platform Made Easy
John Morehouse

When you decided to move to any cloud provider, the thought about how to migrate all your data can seem like a daunting task. Thankfully, it isn't as daunting as you might think thanks to some native tools as well as tools offered by Microsoft. In this session we'll examine these methods and tools t

Room: Breakout Room H
Topics: ;
Tags: Azure; Cloud; SQL

Ken Muse
The Art of Data DevOps with SSDT
Ken Muse

As software development cycles get shorter, database development is being forced adapt the same pace, so it’s increasingly important to be able to combine Agile practices with SQL Server database development. Learn how to take advantage of SQL Server Data Tools and Azure DevOps to enable rapid, iter

Room: Breakout Room J
Topics: ;
Tags: Azure; Continuous Delivery; Database; DevOps; SQL; Testing

Dustin Dorsey
Determining the Cost to Move to Azure
Dustin Dorsey

You have read all about moving to the cloud, spoken to colleagues who are on it and even attended events where they told you about how great it is, and YOU ARE SOLD! You recognize the benefits of storing your workloads in the cloud and ready for things to happen. Everyone agrees its the right answer

Room: Breakout Room L
Topics: ;
Tags: Azure; Cloud; Database; Microsoft; SQL

Rob Richardson
Databases in the Microservices world
Rob Richardson

Web technologies have come leaps and bounds. But are you still using the tired old database from last generation? Let's look at the methodology of microservices, compare it to bounded contexts, and look at ops tasks for micro-databases. Let's tour all the flavors of databases, understand their pros

Room: Breakout Room I
Topics: ;
Tags: Database; Microservices; NoSQL; SQL

Evan Smith
Don't screw up the SQL!
Evan Smith

A session for anyone who writes SQL and is not an experienced, siloed SQL expert ... we’ll examine basic features of Microsoft SQL Server that can cause headaches if not used as intended. We’ll explore several of the most basic SQL Server mistakes of my career so you can avoid them and write better

Room: Breakout Room K
Topics: Application Development;
Tags: Database; Performance; SQL

Ahmed Firjani
Record Linkage and Deduplicating Data with ML
Ahmed Firjani

Machine learning and fuzzy matching can enable us to identify duplicate or linked records across datasets, even when the records don’t have a common unique identifier. Ahmad Firjani will explain how he used machine learning algorithms to link matching records from clinic dataset to other patient da

Room: Breakout Room D
Topics: ;
Tags: Big Data; Database; Machine Learning; People; Python; SQL; Work Skills

John Morehouse
Indexes: The Voodoo of SQL Server
John Morehouse

Microsoft SQL Server is a large data ecosystem with many facets that can affect how your queries perform. Facets like what kind of hardware are you using, how much memory, CPUs. Many of these facets cost money and there are many things about them that can be turned on, tweaked, or implemented to hel

Room: Breakout Room F
Topics: Application Development;
Tags: Azure; Database; Microsoft; SQL

About

A software development conference in the Louisville, KY area on August 19 - 21, 2020 designed to cover all aspects of software development regardless of development stack.

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